Hardware Implementation Using DSP´s of the Neurocontrol of a Wheelchair

Title	Hardware Implementation Using DSP´s of the Neurocontrol of a Wheelchair
Publication Type	Conference Paper
Año de publicación	1999
Autores	Martín, P, Mazo, M, Boquete, L, Rodríguez, FJ, Fernandez, I, Barea Navarro, R, Lazaro, JL
Idioma de publicación	English
Conference Name	International Work conference on Artificial and Natural Neural Network (IWANN'99)
Páginas	149-156
Fecha de publicación	10/1999
Numero ISBN	3-5406-6069-0
Abstract	This paper describes the implementation of a neural network control system for guiding a wheelchair, using an architecture based on a digital signal processor (DSP). The control algorithm is based on a radial base network model, the main advantage of which is learning speed. The hub of the algorithm architecture is a DSP of the company Texas Instruments (TMS320C31). The board has complete autonomy of action and is specially designed for executing control algorithms in real time. The wheelchair prototype forms part of the SIAMO project, currently being developed by the Electronics Department of the University of Alcalá. The stability conditions are obtained for the correct functioning of the system and various simulations are conducted to deduce the correct functioning of the system when governing the output of the wheelchair.

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